Passive Identification is Non Stationary Objects With Closed Loop Control

ग्रंथसूची विवरण
Parent link:IOP Conference Series: Materials Science and Engineering
Vol. 142 : Innovative Technologies in Engineering.— 2016.— [012047, 7 p.]
निगमित लेखक: Национальный исследовательский Томский политехнический университет (ТПУ) Физико-технический институт (ФТИ) Кафедра электроники и автоматики физических установок (№ 24) (ЭАФУ)
अन्य लेखक: Dyadik V. F. Valery Feodosievich, Nadezhdin I. S. Igor Sergeevich, Goryunov A. G. Aleksey Germanovich, Manenti F. Flavio
सारांश:Title screen
Typically chemical processes have significant nonlinear dynamics, but despite this, industry is conventionally still using PID-based regulatory control systems. Moreover, process units are interconnected, in terms of inlet and outlet material/energy flows, to other neighbouring units, thus their dynamic behaviour is strongly influenced by these connections and, as a consequence, conventional control systems performance often proves to be poor. However, there a hybrid fuzzy PID control logic, whose tuning parameters are provided in real time. The fuzzy controller tuning is made on the basis of Mamdani controller, also exploiting the results coming from an identification procedure that is carried on when an unmeasured step disturbance of any shape affects the process behaviour. This paper presents procedure for identifying technological object control in a closed loop, i. e. that operates the automated control system. The variation in the controlled variable, caused by the change of the nonmeasurable disturbance, is considered the initial signal for the identification procedure. The parameters of the control object are found by optimization method Levenberg-Marquardt.
भाषा:अंग्रेज़ी
प्रकाशित: 2016
विषय:
ऑनलाइन पहुंच:http://dx.doi.org/10.1088/1757-899X/142/1/012047
http://earchive.tpu.ru/handle/11683/34730
स्वरूप: इलेक्ट्रोनिक पुस्तक अध्याय
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=650416

MARC

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330 |a Typically chemical processes have significant nonlinear dynamics, but despite this, industry is conventionally still using PID-based regulatory control systems. Moreover, process units are interconnected, in terms of inlet and outlet material/energy flows, to other neighbouring units, thus their dynamic behaviour is strongly influenced by these connections and, as a consequence, conventional control systems performance often proves to be poor. However, there a hybrid fuzzy PID control logic, whose tuning parameters are provided in real time. The fuzzy controller tuning is made on the basis of Mamdani controller, also exploiting the results coming from an identification procedure that is carried on when an unmeasured step disturbance of any shape affects the process behaviour. This paper presents procedure for identifying technological object control in a closed loop, i. e. that operates the automated control system. The variation in the controlled variable, caused by the change of the nonmeasurable disturbance, is considered the initial signal for the identification procedure. The parameters of the control object are found by optimization method Levenberg-Marquardt. 
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